We are hiring software engineers who are very enthusiastic about data to focus on building structured, high-quality data solutions. These solutions will be used to evolve our products bringing better experiences to our 190 million users and the global artist community alike. We are processing petabytes of data using tools such as BigQuery, Dataflow, Pub/Sub and Spark. When needed, we also develop our own data tooling such as , a Scala API for Apache Beam.
This is a generic advert describing the baseline of skills and experiences that we are looking for, but we are recruiting to multiple teams. Our process is open-ended in the sense that we will route you to different teams based on the findings in the recruitment process and your area of interest for the best match.
Right now, we will not be considering new graduates for these roles.What you’ll do
Explore new ways of producing, processing, and analysing data in order to gain insights into both our users and our product features
Design, develop, and test data-driven products and features
Work with state-of-the-art data processing frameworks, technologies, and platforms
Improve data quality through testing, tooling and continuously evaluating performance
Work with other software engineers, data analysts, data scientists, and decision-makers, such as product owners, to build solutions and gain novel insights.
Act as the bridge between our backend and analysts and work on data cataloguing/management and build/maintain crucial data pipelines
Work in multi-functional agile teams with end-to-end responsibility for product development and delivery within your mission
Work from one of our awesome office in central Stockholm (Sweden)
You don’t like leaving questions unanswered and you love exploring/understanding data
You care about agile software processes, data-driven development, reliability, and responsible experimentation
You are passionate about crafting clean code and have a steady foundation in coding and building data pipelines
You love visualising your data findings in a clear and easy to understand way and to capture corner cases of implementations
You are interested in being the glue between engineering and analysis
We are proud to foster a workplace free from discrimination. We truly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
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